---
title: "Who cites Daniel A. McFarland — 312 papers of our library"
description: "312 papers of the Elamur Research library cite the works of Daniel A. McFarland, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/daniel-a-mcfarland/cited-by/"
---
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# Who cites Daniel A. McFarland

356 citations of their works from 312 papers of our library (of the 149,439 whose bibliographies we read) · 63 with a page here, the most cited first · [← Daniel A. McFarland](https://md.research.elamur.ai/free/en/authors/daniel-a-mcfarland/)

1. **[SciBERT: A Pretrained Language Model for Scientific Text](https://md.research.elamur.ai/free/en/papers/beltagy-2019-scibert-pretrained-language-model-scientific/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Iz Beltagy, Kyle Lo, Arman Cohan*2019 · 3,582 citations*
2. [**On the Opportunities and Risks of Foundation Models arXiv:2108.07258**Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.*2021 · 3,160 citations*](https://md.research.elamur.ai/free/en/papers/bommasani-2021-opportunities-risks-foundation-models/)
3. **[Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction](https://md.research.elamur.ai/free/en/papers/luan-2018-multi-task-identification-entities-relations/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yi Luan, Luheng He, Mari Ostendorf, et al.*2018 · 945 citations*
4. **[Unsupervised Modeling of Twitter Conversations](https://md.research.elamur.ai/free/en/papers/ritter-2010-unsupervised-modeling-twitter-conversations/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Alan Ritter, Colin Cherry, Bill Dolan*2010 · 562 citations*
5. **[The Social Impact of Natural Language Processing](https://md.research.elamur.ai/free/en/papers/hovy-2016-social-impact-natural-language-processing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dirk Hovy, Shannon L. Spruit*2016 · 523 citations*
6. [**The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery arXiv:2408.06292**Chris Lu, Cong Lu, Robert Tjarko Lange, et al.*2024 · 372 citations*](https://md.research.elamur.ai/free/en/papers/lu-2024-ai-scientist-fully-automated/)
7. **[Measuring the Evolution of a Scientific Field through Citation Frames](https://md.research.elamur.ai/free/en/papers/jurgens-2018-measuring-evolution-scientific-field-through/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**David Jurgens, Srijan Kumar, Raine Hoover, et al.*2018 · 314 citations*
8. [**S2ORC: The Semantic Scholar Open Research Corpus arXiv:1911.02782**Kyle Lo, Lucy Lu Wang, Mark Neumann, et al.*2019 · 312 citations*](https://md.research.elamur.ai/free/en/papers/lo-2019-s2orc-semantic-scholar-open-research/)
9. **[Structural Scaffolds for Citation Intent Classification in Scientific Publications](https://md.research.elamur.ai/free/en/papers/cohan-2019-structural-scaffolds-citation-intent-classification/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Arman Cohan, Waleed Ammar, Madeleine van Zuylen, et al.*2019 · 289 citations*
10. **[Computational Sociolinguistics: A Survey](https://md.research.elamur.ai/free/en/papers/nguyen-2016-computational-sociolinguistics-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Dong Nguyen, A. Seza Doğruöz, Carolyn P. Rosé, et al.*2016 · 288 citations*
11. **[SciREX: A Challenge Dataset for Document-Level Information Extraction](https://md.research.elamur.ai/free/en/papers/jain-2020-scirex-challenge-dataset-document-level/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sarthak Jain, Madeleine van Zuylen, Hannaneh Hajishirzi, et al.*2020 · 220 citations*
12. **[Merging Models with Fisher-Weighted Averaging](https://md.research.elamur.ai/free/en/papers/matena-2021-merging-models-fisher-weighted-averaging/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Michael Matena, Colin Raffel*2021 · 208 citations*
13. [**Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers arXiv:2409.04109**Chenglei Si, Diyi Yang, Tatsunori Hashimoto*2024 · 196 citations*](https://md.research.elamur.ai/free/en/papers/si-2024-llms-generate-novel-research/)
14. [**Agent Laboratory: Using LLM Agents as Research Assistants arXiv:2501.04227**Samuel Schmidgall, Yusheng Su, Ze Wang, et al.*2025 · 139 citations*](https://md.research.elamur.ai/free/en/papers/schmidgall-2025-agent-laboratory-using-llm/)
15. [**When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset arXiv:2104.08671**Lucia Zheng, Neel Guha, Brandon R. Anderson, et al.*2021 · 134 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2021-pretraining-help-assessing-self-supervised/)
16. [**Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews arXiv:2403.07183**Weixin Liang, Zachary Izzo, Yaohui Zhang, et al.*2024 · 119 citations*](https://md.research.elamur.ai/free/en/papers/liang-2024-monitoring-ai-modified-content/)
17. **[Chameleons in Imagined Conversations: A New Approach to Understanding Coordination of Linguistic Style in Dialogs](https://md.research.elamur.ai/free/en/papers/mizil-2011-chameleons-imagined-conversations-new-approach/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Cristian Danescu-Niculescu-Mizil, Lillian Lee*2011 · 115 citations*
18. [**Mapping the Increasing Use of LLMs in Scientific Papers arXiv:2404.01268**Weixin Liang, Yaohui Zhang, Zhengxuan Wu, et al.*2024 · 89 citations*](https://md.research.elamur.ai/free/en/papers/liang-2024-mapping-increasing-use-llms/)
19. **[AgentReview: Exploring Peer Review Dynamics with LLM Agents](https://md.research.elamur.ai/free/en/papers/jin-2024-agentreview-exploring-peer-review/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yiqiao Jin, Qinlin Zhao, Yiyang Wang, et al.*2024 · 86 citations*
20. [**MARG: Multi-Agent Review Generation for Scientific Papers arXiv:2401.04259**Mike D'Arcy, Tom Hope, Larry Birnbaum, et al.*2024 · 76 citations*](https://md.research.elamur.ai/free/en/papers/arcy-2024-marg-multi-agent-review/)
21. **[Is LLM a Reliable Reviewer? A Comprehensive Evaluation of LLM on Automatic Paper Reviewing Tasks](https://md.research.elamur.ai/free/en/papers/zhou-2024-is-llm-reliable-reviewer-comprehensive/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ruiyang Zhou, Lu Chen, Kai Yu*2024 · 74 citations*
22. **[LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing](https://md.research.elamur.ai/free/en/papers/du-2024-llms-assist-nlp-researchers-critique/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiangshu Du, Yibo Wang, Wenting Zhao, et al.*2024 · 71 citations*
23. [**CycleResearcher: Improving Automated Research via Automated Review arXiv:2411.00816**Yixuan Weng, Minjun Zhu, Guangsheng Bao, et al.*2024 · 65 citations*](https://md.research.elamur.ai/free/en/papers/weng-2024-cycleresearcher-improving-automated-research/)
24. **[Dialogue Act Recognition in Synchronous and Asynchronous Conversations](https://md.research.elamur.ai/free/en/papers/tavafi-2013-dialogue-act-recognition-synchronous-asynchronous/) [SIGDIAL Conference](https://md.research.elamur.ai/free/en/venues/sigdial-conference/)**Maryam Tavafi, Yashar Mehdad, Shafiq Joty, et al.*2013 · 60 citations*
25. **[A Systematic Survey of Automatic Prompt Optimization Techniques](https://md.research.elamur.ai/free/en/papers/ramnath-2025-systematic-survey-automatic-prompt-optimization/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kiran Ramnath, Kang Zhou, Sheng Guan, et al.*2025 · 40 citations*
26. **[Classifying Dialogue Acts in Multi-party Live Chats](https://md.research.elamur.ai/free/en/papers/kim-2012-classifying-dialogue-acts-multi-party/) [Pacific Asia Conference on Language, Information and Computation (PACLIC)](https://md.research.elamur.ai/free/en/venues/paclic/)**Su Nam Kim, Lawrence Cavedon, Timothy Baldwin*2012 · 34 citations*
27. **[Detection and Measurement of Syntactic Templates in Generated Text](https://md.research.elamur.ai/free/en/papers/shaib-2024-detection-measurement-syntactic-templates-generated/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chantal Shaib, Yanai Elazar, Junyi Jessy Li, et al.*2024 · 32 citations*
28. [**Reviewer2: Optimizing Review Generation Through Prompt Generation arXiv:2402.10886**Zhaolin Gao, Kiante Brantley, Thorsten Joachims*2024 · 27 citations*](https://md.research.elamur.ai/free/en/papers/gao-2024-reviewer2-optimizing-review-generation-through/)
29. **[Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation](https://md.research.elamur.ai/free/en/papers/eger-2025-transforming-science-large-language-models/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Steffen Eger, Yong Cao, Jennifer D'Souza, et al.*2025 · 25 citations*
30. **[AI4Research: A Survey of Artificial Intelligence for Scientific Research](https://md.research.elamur.ai/free/en/papers/chen-2025-ai4research-survey-artificial-intelligence/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Qiguang Chen, Mingda Yang, Libo Qin, et al.*2025 · 21 citations*
31. [**Modeling Speech Acts in Asynchronous Conversations: A Neural-CRF Approach**Shafiq Joty, Tasnim Mohiuddin*2018 · 20 citations*](https://md.research.elamur.ai/free/en/papers/joty-2018-modeling-speech-acts-asynchronous-conversations/)
32. **[TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer Review](https://md.research.elamur.ai/free/en/papers/chang-2025-treereview-dynamic-tree-questions-framework/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yuan Chang, Ziyue Li, Hengyuan Zhang, et al.*2025 · 16 citations*
33. [**Shallow Synthesis of Knowledge in GPT-Generated Texts: A Case Study in Automatic Related Work Composition arXiv:2402.12255**Anna Martin-Boyle; Aahan Tyagi; Marti A. Hearst;, Dongyeop Kang*2024 · 16 citations*](https://md.research.elamur.ai/free/en/papers/martin-boyle-2024-shallow-synthesis-knowledge-gpt-generated/)
34. [**CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning arXiv:2503.13517**Hao Cui, Zahra Shamsi, Gowoon Cheon, et al.*2025 · 15 citations*](https://md.research.elamur.ai/free/en/papers/cui-2025-curie-evaluating-llms-multitask-scientific/)
35. **[Mind the Blind Spots: A Focus-Level Evaluation Framework for LLM Reviews](https://md.research.elamur.ai/free/en/papers/shin-2025-mind-blind-spots-focus-level/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hyungyu Shin, Jingyu Tang, Yoonjoo Lee, et al.*2025 · 14 citations*
36. **[Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers](https://md.research.elamur.ai/free/en/papers/xu-2025-can-llms-identify-critical-limitations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhijian Xu, Yilun Zhao, Manasi Patwardhan, et al.*2025 · 11 citations*
37. **[Explaining Relationships Among Research Papers](https://md.research.elamur.ai/free/en/papers/li-2025-explaining-relationships-among-research-papers/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Xiangci Li, Jessica Ouyang*2025 · 11 citations*
38. [**Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 Experiment arXiv:2411.03417**Alexander Goldberg, Ihsan Ullah, Thanh Gia Hieu Khuong, et al.*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/goldberg-2024-usefulness-llms-author-checklist-assistant/)
39. **[MSciNLI: A Diverse Benchmark for Scientific Natural Language Inference](https://md.research.elamur.ai/free/en/papers/sadat-2024-mscinli-diverse-benchmark-scientific-natural/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Mobashir Sadat, Cornelia Caragea*2024 · 9 citations*
40. **[Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews](https://md.research.elamur.ai/free/en/papers/vasu-2026-justice-judgment-unveiling-hidden-bias/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sai Suresh Macharla Vasu, Ivaxi Sheth, Hui-Po Wang, et al.*2026 · 8 citations*
41. **[The Nature of NLP: Analyzing Contributions in NLP Papers](https://md.research.elamur.ai/free/en/papers/pramanick-2025-nature-nlp-analyzing-contributions-nlp/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aniket Pramanick, Yufang Hou, Saif M. Mohammad, et al.*2025 · 8 citations*
42. **[AI use in American newspapers is widespread, uneven, and rarely disclosed](https://md.research.elamur.ai/free/en/papers/russell-2026-ai-use-american-newspapers-is/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jenna Russell, Marzena Karpinska, Destiny Akinode, et al.*2026 · 7 citations*
43. [**Reviewing Scientific Papers for Critical Problems With Reasoning LLMs: Baseline Approaches and Automatic Evaluation arXiv:2505.23824**Tianmai M. Zhang, Neil F. Abernethy*2025 · 7 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2025-reviewing-scientific-papers-critical-problems/)
44. **[TROVE: A Challenge for Fine-Grained Text Provenance via Source Sentence Tracing and Relationship Classification](https://md.research.elamur.ai/free/en/papers/zhu-2025-trove-challenge-fine-grained-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junnan Zhu, Min Xiao, Yining Wang, et al.*2025 · 6 citations*
45. **[Dialogue Act Recognition using Reweighted Speaker Adaptation](https://md.research.elamur.ai/free/en/papers/sun-2012-dialogue-act-recognition-reweighted-speaker/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Congkai Sun, Louis-Philippe Morency*2012 · 6 citations*
46. **[Automatic Reviewers Fail to Detect Faulty Reasoning in Research Papers: A New Counterfactual Evaluation Framework](https://md.research.elamur.ai/free/en/papers/dycke-2026-automatic-reviewers-fail-detect-faulty/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Nils Dycke, Iryna Gurevych*2026 · 5 citations*
47. **[Quotations, Relevance and Time Depth: Medieval Arabic Literature in Grids and Networks](https://md.research.elamur.ai/free/en/papers/zemanek-2014-quotations-relevance-time-depth-medieval/) [Workshop on Computational Linguistics for Literature](https://md.research.elamur.ai/free/en/venues/workshop-on-computational-linguistics-for-literature/)**Petr Zemánek, Jiří Milička*2014 · 5 citations*
48. **[NovBench: Evaluating Large Language Models on Academic Paper Novelty Assessment](https://md.research.elamur.ai/free/en/papers/wu-2026-novbench-evaluating-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenqing Wu, Yi Zhao, Yuzhuo Wang, et al.*2026 · 4 citations*
49. [**Exploring the Structure of AI-Induced Language Change in Scientific English arXiv:2506.21817 · The International FLAIRS Conference Proceedings (Vol. 38), 2025**Riley Galpin, Bryce Anderson, Tom S. Juzek*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/galpin-2025-exploring-structure-ai-induced-language/)
50. **[MetaLead: A Comprehensive Human-Curated Leaderboard Dataset for Transparent Reporting of Machine Learning Experiments](https://md.research.elamur.ai/free/en/papers/timmer-2026-metalead-comprehensive-human-curated-leaderboard/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Roelien C. Timmer, Necva Bölücü, Stephen Wan*2026 · 2 citations*
51. **[AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists](https://md.research.elamur.ai/free/en/papers/pan-2026-airaxiv-ai-driven-open-access/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junshu Pan, Panzhong Lu, Yixuan Weng, et al.*2026 · 1 citation*
52. **[Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future](https://md.research.elamur.ai/free/en/papers/wu-2026-can-ai-be-good-peer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sihong Wu, Owen Jiang, Yilun Zhao, et al.*2026 · 1 citation*
53. **[Identifying Implicit Research Data References in Paper Citations](https://md.research.elamur.ai/free/en/papers/motegi-2026-identifying-implicit-research-data-references/) [Natural Scientific Language Processing (NSLP) @ LREC](https://md.research.elamur.ai/free/en/venues/nslp/)**Koshi Motegi, Koichiro Ito, Shigeki Matsubara*2026 · 1 citation*
54. **[Large Language Models for Citation Function Classification](https://md.research.elamur.ai/free/en/papers/vodicka-2026-large-language-models-citation-function/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Daniel Vodička, Pavel Kral, Christophe Cerisara, et al.*2026 · 1 citation*
55. **[PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers in Overleaf](https://md.research.elamur.ai/free/en/papers/liu-2026-papermentor-human-centered-multi-agent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiarui Liu, Terry Jingchen Zhang, Ryan Faulkner, et al.*2026 · 1 citation*
56. **[SEFL: A Framework for Generating Synthetic Educational Assignment Feedback with LLM Agents](https://md.research.elamur.ai/free/en/papers/zhang-2026-sefl-framework-generating-synthetic-educational/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mike Zhang, Amalie Pernille Dilling, Léon Gondelman, et al.*2026 · 1 citation*
57. **[ARAMIS: a web tool integrated with an open-source LLM to support grading undergraduate theses (ARAMIS: Uma ferramenta web integrada com LLM open-source para apoio à correção de TCCs de estudantes de graduação)](https://md.research.elamur.ai/free/en/papers/sousa-2026-aramis-uma-ferramenta-web-integrada/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Gustavo Campelo de Sousa, Pablo Kauan Martins Timbó, Luiz Zairo Bastos Viana, et al.*2026*
58. **[code-transformed: The Influence of Large Language Models on Code](https://md.research.elamur.ai/free/en/papers/xu-2026-code-transformed-influence-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuliang Xu, Siming Huang, Mingmeng Geng, et al.*2026*
59. **[From Isolated Scoring to Collaborative Ranking: A Comparison-Native Framework for LLM-Based Paper Evaluation](https://md.research.elamur.ai/free/en/papers/zheng-2026-isolated-scoring-collaborative-ranking-comparison/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Pujun Zheng, Jiacheng Yao, Jinquan Zheng, et al.*2026*
60. **[Preference Optimization for Review Question Generation Improves Writing Quality](https://md.research.elamur.ai/free/en/papers/sharma-2026-preference-optimization-review-question-generation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Karun Sharma, Vidushee Vats, Shengzhi LI, et al.*2026*
61. **[Reward Modeling for Scientific Writing Evaluation](https://md.research.elamur.ai/free/en/papers/sahinuc-2026-reward-modeling-scientific-writing-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Furkan Şahinuç, Subhabrata Dutta, Iryna Gurevych*2026*
62. **[The PROPOR Ecosystem: Structure, Roles, and Evolution of Portuguese-Language NLP](https://md.research.elamur.ai/free/en/papers/nunes-2026-propor-ecosystem-structure-roles-evolution/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Rafael O. Nunes, Gustavo L. Tamiosso, Pedro L. C. de Andrade, et al.*2026*
63. **[UniCite: A Dataset and Unified Hierarchical Taxonomy for Multi-Dimensional Citation Analysis](https://md.research.elamur.ai/free/en/papers/mourky-2026-unicite-dataset-unified-hierarchical-taxonomy/) [Natural Scientific Language Processing (NSLP) @ LREC](https://md.research.elamur.ai/free/en/venues/nslp/)**Amina Mourky, Elena Leitner, Julian Moreno-Schneider, et al.*2026*

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